150 USD Equivalences in other currencies*: Colombian pesos: $570'433.50 Mexican pesos: $2'576.83 Argentinean pesos: $208'456.20 *These estimates are as of May 13, 2026, and may experience variations based on the daily exchange rates among currencies. Payment Methods: Card Apple Pay Google Pay

Jorge Racedo holds a bachelor's in biomedical engineering (Universidad de Los Andes, Bogotá, Colombia) and have participated in clinical and research training at Mayo Clinic (Rochester, MN), Imperial College London (London, England), and MD Anderson (Houston, TX). Currently, he serves as the general manager at microscopIA and leader of its research group.

You must sign up and complete the payment by May 19, 2026. Signing up between May 20-23 (latest day) increases the fees by 25 USD.

JMP Statistical Discovery Install and activate a free trial by clicking here.

The indications to register for the online sessions will be sent on May 20, 2026. You will also receive a certificate of enrollment and a survey to share your details regards your authorship details for the review paper (author name, affiliations to report, email, and phone number).

Designed for beginners and advanced participants alike One of the central objectives of this program is accessibility. The course does not require previous training in statistics, epidemiology, or data science. All theoretical concepts required to understand and conduct the analyses will be explained progressively during the live practical sessions. Participants will learn: What each statistical analysis means Why specific methods are used How to interpret numerical outputs How to interpret graphical results How to identify meaningful findings How to translate analytical results into scientific conclusions The educational approach prioritizes understanding through direct execution and supervised practice.

Every session is structured around active participation. Participants will work directly with databases and analytical workflows commonly used in: Retrospective studies Prospective studies Clinical trials Translational research Health economics Public health investigations Healthcare systems analyses Under supervision, participants will learn how to: Process and organize clinical datasets Conduct statistical analyses Generate tables and figures Interpret outputs Prepare manuscript-ready materials Organize supplementary files Structure scientific reports The program aims to reproduce the workflow of a real clinical research team.

Teams of 5 participants Beginning during the first weekend, participants will be organized into collaborative research teams of five members. Each group will develop a review paper focused on either: Clinical medicine or Translational healthcare research Potential areas include: Artificial intelligence in healthcare Robotics and automation Health economics Travel-time accessibility Healthcare resource allocation Digital health Clinical medicine Public health Preventive medicine Throughout the course, teams will progressively: Select and refine a topic Organize references Develop manuscript sections Prepare figures and tables Structure the scientific narrative Finalize a submission-ready manuscript

Beyond data management and interpretation, participants will also participate in practical academic design activities, including: Designing randomized controlled trials for pharmaceutical interventions Designing randomized controlled trials for AI-based diagnostic platforms Developing translational healthcare research concepts Evaluating implementation-oriented research strategies These activities were designed to expose participants to the broader ecosystem of modern clinical and translational research.

By the end of the course, participants will have: The ability to process research datasets Practical understanding of statistical workflows Experience interpreting numerical and graphical outputs Familiarity with publication-oriented research operations Exposure to collaborative scientific workflows Scientific Production Experience Certificate for your curriculum Each group will deliver a complete review manuscript prepared for journal submission. microscopIA will: Coordinate manuscript submission Include active participants as co-authors Cover any open-access publication fees associated with the submission process 📌 Publication remains contingent upon the editorial and peer-review decision of the target journal.

This program is intended for: Medical students Biomedical sciences students Biomedical engineering students General physicians Clinical specialists Residents or fellows in clinical or surgical residencies Nurses Epidemiologists and professionals in public health Engineers Master’s students PhD students Individuals interested in clinical or translational research No advanced mathematical or statistical background is required.

From theory to execution Many research training programs remain heavily theoretical and provide limited exposure to real operational research workflows. This program was designed differently. The objective is not only to teach concepts, but to ensure participants finish the course with: Practical analytical skills Experience working within research teams Familiarity with publication preparation Exposure to translational scientific collaboration Confidence processing and interpreting clinical data independently